Abstract
Abstract The aim of this paper is to compare first order predicate logic, fuzzy logic and non-monotonic logic as knowledge representation methods. First, we define five properties of knowledge; conceptualization, transfer, modification, integration and decomposition. We also evaluate first order predicate logic, fuzzy logic and non-monotonic logic for the above properties, in the view of accuracy, complexity, and completeness. We then prove that the complexities of the three methods are NP-complete. We use this information to design a heuristic algorithm tested on probabilistic input to evaluate accuracy and completeness. With the results, we compare weaknesses and strengths of each method.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
